Mineral Resources Limited (MALRY) Fair Value & Analysis
Basic Materials · US · Market cap $9.7B
Analysis
Mineral Resources Limited (MALRY) currently trades at $45.52, while our model-based Fair Value estimate is $33.75 — implying the stock looks roughly 25.9% overvalued today. We read business quality at 90/100 (high quality), in the Basic Materials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Mineral Resources Limited, together with subsidiaries, provides mining services in Australia, Asia, and internationally. It operates through Mining Services, Iron Ore, Lithium, and Energy and Other segments. The company offers pit-to-ship solutions comprising open pit mining, crushing and material handling, processing, haulage, port handling, and marine services; design and construction of mineral processing facilities; transport and logistics services comprising supply chain, road haulage, autonomous road train, and transshipping services; manufacturing of equipment and parts for the mining industry; site and rehabilitation services; and engineering and construction services. It also develops, mines, and exports iron ore from its flagship Onslow iron project located in Western Australia. In addition, the company develops and mines lithium from its mines located in Western Australia; and sells spodumene concentrate and lithium battery chemicals. Further, it engages in exploration an…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.